{"id":"W6990656832","doi":"","title":"The effects of nutrition labels on information recall and label preference","year":2023,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nutrition facts label; Preference; Recall; Nutrition information; Relevance (law); Food labelling; Nutrition Labeling; Food preference","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02317228,0.0003468167,0.00040889,0.001362641,0.0008284596,0.002556277,0.0006830192,0.000926775,0.004162109],"category_scores_gemma":[0.1032041,0.0004392446,0.00113779,0.0009560083,0.001236199,0.001756884,0.001155124,0.001385946,0.0004542625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248699,"about_ca_system_score_gemma":0.001043043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01272216,"about_ca_topic_score_gemma":0.01288908,"domain_scores_codex":[0.9838876,0.008103578,0.001646516,0.00127943,0.004506254,0.000576716],"domain_scores_gemma":[0.7940002,0.1649545,0.02431756,0.006766081,0.008273556,0.001688106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01029229,0.002746192,0.8765965,0.0006042438,0.0006004376,0.0002057901,0.02211337,0.0005218802,0.003182588,0.0006558992,0.00102284,0.08145802],"study_design_scores_gemma":[0.0001383097,0.002514154,0.9830719,0.000316684,0.0002351551,0.000191109,0.007565544,0.001099209,0.001835195,0.0006543821,0.002276073,0.0001023656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939312,0.0003919895,0.000469581,0.0002208986,0.00002301812,0.00009622123,0.0001727598,0.00001559171,0.004678835],"genre_scores_gemma":[0.9945903,0.0003886402,0.001587906,0.000296735,0.00003362651,0.0001328541,0.0003556669,0.00002648357,0.002587708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02317228,"threshold_uncertainty_score":0.1225482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320276080530925,"score_gpt":0.228760832463071,"score_spread":0.2155580716577618,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}